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smoothedLasso

A Framework to Smooth L1 Penalized Regression Operators using Nesterov Smoothing

v1.6 · Mar 21, 2021 · GPL (>= 2)

Description

We provide full functionality to smooth L1 penalized regression operators and to compute regression estimates thereof. For this, the objective function of a user-specified regression operator is first smoothed using Nesterov smoothing (see Y. Nesterov (2005) <doi:10.1007/s10107-004-0552-5>), resulting in a modified objective function with explicit gradients everywhere. The smoothed objective function and its gradient are minimized via BFGS, and the obtained minimizer is returned. Using Nesterov smoothing, the smoothed objective function can be made arbitrarily close to the original (unsmoothed) one. In particular, the Nesterov approach has the advantage that it comes with explicit accuracy bounds, both on the L1/L2 difference of the unsmoothed to the smoothed objective functions as well as on their respective minimizers (see G. Hahn, S.M. Lutz, N. Laha, C. Lange (2020) <doi:10.1101/2020.09.17.301788>). A progressive smoothing approach is provided which iteratively smoothes the objective function, resulting in more stable regression estimates. A function to perform cross validation for selection of the regularization parameter is provided.

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CRAN incoming feasibility

Maintainer: ‘Georg Hahn <ghahn@hsph.harvard.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Georg",
                      family = "Hahn",
                      role = c("aut", "cre"),
                      email = "ghahn@hsph.harvard.edu"),
               person(given = c("Sharon", "M."),
                      family = "Lutz",
                      role = "ctb"),
               person(given = "Nilanjana",
                      family = "Laha",
                      role = "ctb"),
               person(given = "Christoph",
                      family = "Lange",
                      role = "ctb"))
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Georg Hahn <ghahn@hsph.harvard.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Georg",
                      family = "Hahn",
                      role = c("aut", "cre"),
                      email = "ghahn@hsph.harvard.edu"),
               person(given = c("Sharon", "M."),
                      family = "Lutz",
                      role = "ctb"),
               person(given = "Nilanjana",
                      family = "Laha",
                      role = "ctb"),
               person(given = "Christoph",
                      family = "Lange",
                      role = "ctb"))
as necessary.

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Georg Hahn <ghahn@hsph.harvard.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Georg",
                      family = "Hahn",
                      role = c("aut", "cre"),
              
...[truncated]...
             person(given = "Nilanjana",
                      family = "Laha",
                      role = "ctb"),
               person(given = "Christoph",
                      family = "Lange",
                      role = "ctb"))
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Georg Hahn <ghahn@hsph.harvard.edu>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Georg",
                      family = "Hahn",
                      role = c("aut", "cre"),
              
...[truncated]...
             person(given = "Nilanjana",
                      family = "Laha",
                      role = "ctb"),
               person(given = "Christoph",
                      family = "Lange",
                      role = "ctb"))
as necessary.

Dependency Network

Dependencies Reverse dependencies Rdpack Matrix smoothedLasso

Version History

new 1.6 Mar 10, 2026
updated 1.6 ← 1.5 diff Mar 20, 2021
updated 1.5 ← 1.4 diff Oct 7, 2020
updated 1.4 ← 1.3 diff Sep 21, 2020
updated 1.3 ← 1.2 diff Jun 13, 2020
updated 1.2 ← 1.1 diff Jun 1, 2020
updated 1.1 ← 1.0 diff May 30, 2020
new 1.0 Apr 2, 2020